Reversible Data Hiding in Encrypted Images With Dual Data Embedding

Qiu, Yingqiang; Ying, Qichao; Lin, Xiaodan; Zhang, Yaowen; Qian, Zhenxing

doi:10.1109/access.2020.2969252

Cited by 17 publications

(17 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Selfembedding refers to embedding a portion of data into its data during the preprocessing stage before encryption rather than during the data embedding stage. To reserve space, data self-embedding was performed on a cover image during the preprocessing step of work [27]. Before image encryption, error correction data were generated through preprocessing and reversibly embedded into the down-sampling pixels of the original cover image.…”

Section: Data Self-embeddingmentioning

confidence: 99%

See 1 more Smart Citation

Separable Reversible Data Hiding in Encrypted Images for Remote Sensing Images

Liu,

Zhou,

Liu

et al. 2023

Entropy

View full text Add to dashboard Cite

High security and effectiveness are critical performance metrics in the data transmission process for satellite remote sensing images, medical images, and so on. Previously, the receiver could gain a high-quality cover image (lossy) after decryption in a separable manner to balance embedding capacity (EC) and security. Completely separable, reversible data hiding in encrypted image (SRDH-EI) algorithms are proposed to address this issue. In this study, the cover image was preprocessed at the sender’s end. The pre-embedded pixels and most significant bits (MSB) were compressed via two coding methods to reserve space. Additionally, the header data were embedded for marking. Finally, auxiliary data and secret data were embedded in a forward “Z” and reverse “Z” shape before and after encryption, respectively. The receiver could extract secret data and decrypt the cover image separately using the keys and markers. The experimental results demonstrate that the algorithm reached a high EC for remote sensing images by utilizing pixel correlation at multiple positions within the groups. The cover image could maintain its entropy during the data embedding process, ensuring security. The decrypted image could be recovered without distortion, furthermore, the receiver could achieve complete separability, so it has good application prospects for remote sensing images.

show abstract

Section: Data Self-embeddingmentioning

confidence: 99%

“…The joint algorithms must perform data extraction and cover decryption according to the designed order. To achieve true reversibility and separability, the two operations must be completed without errors, such as in [7][8][9][10][11][12][13][14]27,36], etc. Separable algorithms have more flexibility.…”

Section: The Cover Image Decryptionmentioning

confidence: 99%

Separable Reversible Data Hiding in Encrypted Images for Remote Sensing Images

Liu,

Zhou,

Liu

et al. 2023

Entropy

View full text Add to dashboard Cite

show abstract

“…RDH-ED methods can be broken down into two main categories: Reserving Room Before Encryption (RRBE) [1][2][3][4], and Vacating Room After Encryption (VRAE) [5][6][7]. In RRBE methods, the content owner liberates space for the data in the media in a preprocessing step.…”

Section: Introductionmentioning

confidence: 99%

Homomorphic Two Tier Reversible Data Hiding In Encrypted 3D Objects

Rensburg¹,

Puteaux

Puech

et al. 2021

2021 IEEE International Conference on Image Processing (ICIP)

View full text Add to dashboard Cite

Today, 3D objects are an increasingly popular form of media. It has become necessary to secure them during their transmission or archiving. In this paper, we propose a two tier reversible data hiding method for 3D objects in the encrypted domain. Based on the homomorphic properties of the Paillier cryptosystem, our proposed method embeds a first tier message in the encrypted domain which can be extracted in either the encrypted domain or the clear domain. Indeed, our method produces a marked 3D object which is visually very similar to the original object. It seeks to be format compliant and to preserve the original size of the data, without the need for an auxiliary file. Moreover, large keys are used, rending our method secure for real life applications.

show abstract

“…However, most of the reversible data hiding schemes have extremely low embedding capability. In this case, a lot of reversible data hiding algorithms [22][23][24][25][26][27][28][29][30][31][32][33] were proposed for encrypted images to increase the embedding capability; meanwhile, keeps high fidelity. However, embedding secret data in a meaningless image deviate from the essence of steganography.…”

Section: Introductionmentioning

confidence: 99%